Programming: Compilers, Rust, Zope on Python 3 and More Python Bits
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Intel's BFloat16 Support Plumbed Into GCC 10 & LLVM Clang 9 Compilers
Last month Intel developers began working on adding BFloat16 support to the open-source/Linux compilers for this new instruction debuting with next-generation Xeon "Cooper Lake" server processors. That support is now squared away for GCC 10, due out next year, and LLVM Clang 9, which will be released this autumn.
BFloat16 floating-point support is intended for deep learning / machine learning workloads and will be supported by next-gen Cooper Lake processors and is also found within Nervana NNPs and FPGAs. BFloat16 has also been of interest to other companies like Google and their TPUs.
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Rust doubly-linked list, redux
I have declared rc-dlist-deque, my doubly-linked list library for Rust, to be 1.0.0. Little has changed, apart from the version number and some documentation updates.
In particular, I thought I would expand on my previous comments to the effect that you don't want a doubly linked list in Rust.
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Celebration: Zope 4 final release
After hard, long years of preparation Earl Zope now finally made it to get a permanent license for the Python 3 wonderland: In September 2016 almost 20 people started with the reanimation of Zope at the Zope Resurrection sprint. This marked the beginning of a wonderful journey for Earl Zope himself for the people who helped him. In August 2017 Earl Zope became aware that his Python 2 country will irreversibly be destroyed by 2020. Earl Zope was successfully applying for for a beta permission for the Python 3 wonderland in September 2017. This beta permission has been extended 9 times to give Earl Zope time to become a good citizen in his new home country.
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Python for Data Science : Learn in 3 Days
This tutorial helps you to learn Data Science with Python with examples. Python is an open source language and it is widely used as a high-level programming language for general-purpose programming. It has gained high popularity in data science world. As data science domain is rising these days, IBM recently predicted demand for data science professionals would rise by more than 25% by 2020. In the PyPL Popularity of Programming language index, Python scored second rank with a 14 percent share. In advanced analytics and predictive analytics market, it is ranked among top 3 programming languages for advanced analytics.
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Introduction to Reinforcement Learning with Python
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Dilution and Misuse of the "Linux" Brand
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